{"id":606792,"url":"https://alion.io/job/ddn-senior-staff-nfs-engineer","title":"Senior / Staff NFS Engineer","company":{"id":672909,"name":"DDN","domain":"ddn.com","url":"https://alion.io/company/ddn","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":94,"open_postings":7,"ghost_share":0,"stale_share":0,"repost_share":0.429,"time_to_fill_p50_days":43,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sacramento, United 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and user-space I/O stacks\n\nWorking with NVMe, SSDs, RDMA, and high-speed networking\n\nIntegrating storage platforms into Kubernetes-native environments\n\nUsing Python to automate, debug, test, and improve complex systems\n\nYour work will directly influence how high-performance data platforms behave under real-world load, not just in theory.\nWhat you’ll do\nDesign, build, and optimize features across DDN’s NFS and storage stack\n\nDiagnose bottlenecks across file systems, storage media, networking, and I/O paths\n\nImprove performance, scalability, and resiliency in distributed storage environments\n\nWork across kernel-space and user-space components to solve hard systems problems\n\nCollaborate with engineers across storage, systems, and platform layers\n\nDevelop tooling and automation in Python to improve observability, testing, and operations\n\nHelp shape the next generation of infrastructure for AI and data-intensive workloads\n\nWhat we’re looking for\nStrong hands-on experience with Network File Systems (NFS)\n\nDeep understanding of distributed file systems\n\nExperience with object storage\n\nProduction experience with Kubernetes\n\nStrong Python skills\n\nExperience working on kernel-level and/or user-space I/O stacks\n\nFamiliarity with NVMe, SSDs, RDMA, and high-speed networking\n\nA systems mindset: you know how to debug complex performance and reliability issues across layers\n\nYou’ll thrive here if\nYou are energized by low-level systems work\n\nYou like solving problems most engineers avoid because they are too deep, too subtle, or too performance-sensitive\n\nYou care about the details of how storage and networking behave under pressure\n\nYou want your work to matter in environments where performance is mission-critical\n\nThis role is probably not for you if\nYour background is primarily general backend, SRE, or platform engineering without deep storage/filesystem ownership\n\nYou’ve used storage systems, but haven’t built or debugged them at a systems level\n\nYou prefer abstraction layers over getting hands-on with performance, I/O paths, and infrastructure internals\n\nYou want a role focused on coordination more than engineering depth","description_format":"text","description_chars":2408,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Enterprise Storage Systems","Servers & Data Center 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